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Springer Applications of Machine Learning in Hydroclimatology - Springer

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£121.12 £115.06 £117.49 £119.91 £122.33 £124.75 £127.18 30 July 2026 15 August 2026 01 September 2026 18 September 2026 05 October 2026
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Description

This comprehensive volume from Springer's applied machine learning series explores the intersection of machine learning techniques and hydroclimatological research. The book presents practical methodologies for applying advanced computational approaches to climate and water-related challenges, offering readers both theoretical foundations and real-world applications. Whether you are a researcher, data scientist, or academic professional working in hydrology, climate science, or environmental engineering, this resource provides essential insights into how machine learning algorithms can improve weather prediction, water resource management, and climate modelling. The Springer Series in Applied Machine Learning ensures rigorous, peer-reviewed content that bridges computational science with environmental sciences, making complex algorithms accessible to practitioners in hydroclimatology.

Key Features

Part of the Springer Series in Applied Machine Learning, providing authoritative coverage of computational techniques for hydroclimatological problems.

Combines theoretical machine learning fundamentals with practical applications in hydrology, climate analysis, and water resource management.

Offers research-driven methodologies and case studies relevant to professionals working in climate science and environmental data analysis.

Published by Springer, a leading academic publisher known for rigorous peer-reviewed scientific and technical content.

Serves as a reference for advanced students, researchers, and data scientists exploring the intersection of artificial intelligence and Earth sciences.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 November 2025
Listed Since
19 November 2025

Barcode

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